911 is the backbone of American public safety…but, for too long, the professionals that dedicate their lives to answering our calls have been let down by the technology that serves them. Our mission is to change that.
We aim to ensure that every emergency receives a perfect response; a bold vision requires bold action from our team, working handinhand with the professionals we serve.
Since the public launch of our first public safety product in the fall of 2021, our technology has helped streamline millions of 911 calls in communities around the country. We’ve revolutionized what’s possible in emergency response by applying cuttingedge AI to the most critical challenges facing first responders. Our partners span 49 states and collectively protect more than 90 million people.
Backed by more than $130 million in funding led from investors like General Catalyst, Andreessen Horowitz, and First Round Capital, were scaling rapidly to become a core component of emergency calls nationwide, driving the future of emergency response toward a safer, more agile system.
At Prepared, you’re not simply part of a team — you’re a key force in a mission that truly matters. Your contributions here will shape the future of emergency services, playing a vital role in creating a safer, more connected world.
We are looking for an experienced data engineer to join our platform engineering team. This is an opportunity to join a small, growing engineering org and make a large impact while operating with a high degree of autonomy and ownership.
You will be responsible for designing, building, and maintaining the data pipelines and infrastructure that power our analytics and product features. This role requires a blend of strategic vision and handson technical skills.
As an early member of the team, you will also play a key role in shaping the foundation of Prepared’s engineering culture.
Design, implement, and maintain scalable data pipelines and infrastructure
Collaborate with software engineers, product managers, customer success managers, and others across the business to understand data requirements
Optimize and manage our data storage solutions
Ensure data quality, reliability, and security across the data lifecycle
Develop and maintain ETL processes and frameworks
Work with stakeholders to define data availability SLAs
Create and manage data models to support business intelligence and analytics
5+ years of experience in data engineering, software engineering with a data focus, data science, or a related role
Knowledge of designing data pipelines from a variety of source (e.g. streaming, flat files, APIs)
Proficiency in SQL and experience with relational databases (e.g., PostgreSQL)
Experience with realtime data processing frameworks (e.g., Apache Kafka, Spark Streaming, Flink, Pulsar, Redpanda)
Strong programming skills in common datafocused languages (e.g., Python, Scala)
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Prefect, Temporal)
Familiarity with AWSbased data solutions
Strong understanding of data warehousing concepts and technologies (Snowflake)
Experience documenting data dependency maps and data lineage
Strong communication and collaboration skills
Ability to work independently and take initiative
Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes)
Experience in an earlystage startup
Familiarity with cloudagnostic data solutions
The base pay for this role is $180,000–$220,000 per year + company equity. You are also eligible for employee benefits, participation in Prepared’s unlimited vacation program.
🌎 RemoteFirst Culture
🩺 Medical, Dental, and Vision Benefits
💸 401k + Free Financial Advisors with Betterment
📱Monthly Cell Phone Stipend
🏖️ Unlimited Time Off + 15 Observed Holidays
🚼 12 Weeks of Paid Parental Leave (birthing + nonbirthing parents)
🚨 Visit a PSAP (911 Center)
🏢 WeWork Membership for All Employees
✈️ Annual Company Offsite
🔮 AI Tools like ChatGPT + NotionAI
🏠 $500 Work from Home Budget
📚$350 Annual L&D Stipend
Want to learn more about Prepared? Check out the links below.
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